Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
We seek to support the development of open, distributed applications from patible software abstractions. In order to rigorously specify these abstractions, we are elaborating a for...
Markus Lumpe, Jean-Guy Schneider, Oscar Nierstrasz
Effective problem-solving about complex engineered devices requires device models that are both adequate for the problem and computationally efficient . Producing such models requ...
P. Pandurang Nayak, Leo Joskowicz, Sanjaya Addanki
— This paper presents an analytical model for calculating the deformation behavior of an elastic, composite strut comprising any number of materials, which are represented by an ...
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...